R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
EuclideanSD
View on CRAN: Click
here
Download and install EuclideanSD package within the R console
Install from CRAN:
install.packages("EuclideanSD")
Install from Github:
library("remotes")
install_github("cran/EuclideanSD") Install by package version:
library("remotes")
install_version("EuclideanSD", "0.1.0") Attach the package and use:
library("EuclideanSD")
Maintained by
Siddhanta Phuyal
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-01
Latest Update: 2021-07-01
Description:
Illustrates the concepts developed in Sarkar and Rashid (2019, ISSN:0025-5742) .
This package helps a user guess four things (mean, MD, scaled MSD, and RMSD) before they get the SD.
1) The package displays the Empirical Cumulative Distribution Function (ECDF) of
the given data. The user must choose the value of the mean by equating the areas of
two colored (blue and green) regions. The package gives feedback to improve the choice
until it is correct. Alternatively, the reader may continue with a different guess for
the center (not necessarily the mean).
2) The user chooses the values of the Mean Deviation (MD) based on the ECDF of the deviations
by equating the areas of two newly colored (blue and green) regions, with feedback from the
package until the user guesses correctly.
3) The user chooses the Scaled Mean Squared Deviation (MSD) based on the ECDF of the scaled
square deviations by equating the areas of two newly colored (blue and green) regions, with
feedback from the package until the user guesses correctly.
4) The user chooses the Root Mean Squared Deviation (RMSD) by ensuring that its intersection
with the ECDF of the deviations is at the same height as the intersection between the scaled
MSD and the ECDF of the scaled squared deviations. Additionally, the intersection of two
blue lines (the green dot) should fall on the vertical line at the maximum deviation.
5) Finally, if the mean is chosen correctly, only then the user can view the population
SD (the same as the RMSD) and the sample SD (sqrt(n/(n-1))*RMSD) by clicking the respective
buttons. If the mean is chosen incorrectly, the user is asked to correct it.
How to cite:
Siddhanta Phuyal (2021). EuclideanSD: An Euclidean View of Center and Spread. R package version 0.1.0, https://cran.r-project.org/web/packages/EuclideanSD. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited EuclideanSD R package
View EuclideanSD citation profile
Other R packages that EuclideanSD depends,
imports, suggests or enhances
Complete documentation for EuclideanSD
Functions, R codes and Examples using
the EuclideanSD R package
Some associated functions: EuclideanSD . nums .
Some associated R codes: EuclideanSD.R . Full EuclideanSD package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
GEVcdn
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alex J. Cannon (view profile)
fastRG
Samples generalized random product graphs, a generalization of
a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alex Hayes (view profile)
personalized2part
Implements the methodology of Huling, Smith, and
Chen (2020) , w ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jared Huling (view profile)
binovisualfields
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ping Liu (view profile)
29,218
R Packages
247,686
Dependencies
77,281
Author Associations
29,219
Publication Badges
